Information, Intelligence, and Systems, International Conference on (1999)
Mar. 31, 1999 to Apr. 3, 1999
S.D. Likothanassis , University of Patras and Computer Technology Institute
D. Fragoudis , University of Patras and ZEUS Consulting S.A
With the exponential growth of Internet and the volume of information published over it, searching for information of interest has become a very difficult and time-consuming task. In this paper we present 'Retriever', an autonomous agent that executes user-queries and returns high quality results to the user. Retriever utilizes existing search engines to obtain the starting points for its subsequent autonomous exploration of the Web. Then it conducts a self-training process, in order to learn the query domain and increase its efficiency. When the query domain is learned, the agent expands the original query, reforms its search strategy and goes out looking for the documents to be presented to the user. It also incorporates relevance feedback in order to perform subsequent searches on the same query.
S.D. Likothanassis, D. Fragoudis, "Retriever: A Self-Training Agent for Intelligent Information Discovery", Information, Intelligence, and Systems, International Conference on, vol. 00, no. , pp. 594, 1999, doi:10.1109/ICIIS.1999.810353